Day 86 of 133

Multi-agent systems: orchestration patterns + DSA review

Supervisor / swarm / hierarchical; AutoGen / CrewAI / LangGraph.

DSA · NeetCode Stack

  • Interview questions to prep

    1. Walk through the monotonic stack — what does popping a bar tell you about its rectangle?
    2. How does this generalize to 'maximal rectangle in a binary matrix'?

GenAI · Multi-agent systems

  • Interview questions to prep

    1. Compare supervisor vs swarm vs hierarchical multi-agent topologies.
    2. Why do swarm agents often degrade into chaos in practice — what stabilizes them?
  • Interview questions to prep

    1. How do you handle two agents that disagree on the next action?
    2. When does majority voting between agents help, and when does it just amplify a shared bias?
  • AutoGen, CrewAI, LangGraphGenerative AIAutoGen

    Interview questions to prep

    1. Compare AutoGen, CrewAI, and LangGraph — when do you reach for each?
    2. Why might you prefer LangGraph's explicit state machine over AutoGen's free-form conversation?
  • Interview questions to prep

    1. How would you version prompts, tools, memories, and policies across a multi-agent system?
    2. What breaks when multiple agents share a tool catalog but one tool changes its schema?
    3. How do you test a multi-agent workflow deterministically enough for CI?

References & further reading